Data compression algorithms minimize file sizes or stream data sizes primarily by identifying and eliminating what?

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A Hardware interrupts
B Security headers
C Statistical and structural redundancy
D Encrypted bits

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Answer: C. Statistical and structural redundancy

Answer: C) Statistical and structural redundancy
Explanation: Data compression usually works by finding repeating patterns or structural redundancies within a dataset. By substituting long repeating patterns with smaller placeholders or codes, the net size required to represent the data decreases.

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Data compression algorithms minimize file sizes or stream data sizes primarily by identifying and eliminating what?

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